{"id":"W4213077195","doi":"10.3390/molecules27041363","title":"Optimization of the Extraction of Proanthocyanidins from Grape Seeds Using Ultrasonication-Assisted Aqueous Ethanol and Evaluation of Anti-Steatosis Activity In Vitro","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Proanthocyanidin; Chemistry; Extraction (chemistry); Chromatography; Sonication; Pomace; Ethanol; Nutraceutical; Food science; Response surface methodology; Wine; Tannin; Polyphenol; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002630098,0.0005217004,0.0003467742,0.0002516393,0.000138106,0.000232943,0.0001650832,0.0002542824,0.0003012355],"category_scores_gemma":[0.0002085352,0.0001619437,0.0003041099,0.0002866562,0.000147146,0.000188818,0.0001608586,0.0003180041,0.000170577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904411,"about_ca_system_score_gemma":0.0002038444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006016748,"about_ca_topic_score_gemma":0.001207448,"domain_scores_codex":[0.9998071,0.00003465391,0.00002638476,0.00004558047,0.00006264979,0.00002374333],"domain_scores_gemma":[0.9999396,0.00001237058,0.00001568684,0.000004989727,0.00001942664,0.000007949348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003621448,0.00002178587,0.0001050755,0.00006924167,0.000005080883,0.00002630725,0.00001058097,0.000164418,0.9978356,0.0000163189,0.0000106108,0.001698812],"study_design_scores_gemma":[0.000009162399,0.0002969813,0.002267007,0.000006382474,0.00001839556,0.00006306104,0.00001445334,0.0008539932,0.9953364,0.00001589486,0.001111677,0.000006678755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849492,0.002804192,0.01050805,0.0000530531,0.00002897808,0.0001426797,0.0001796556,0.00005862482,0.001275547],"genre_scores_gemma":[0.9681792,0.00278616,0.02669269,0.00005409107,0.00001214889,0.0001156855,0.0005081199,0.00003427434,0.001617631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006016748,"threshold_uncertainty_score":0.001390934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826829073635405,"score_gpt":0.3028070268154215,"score_spread":0.2645387360790675,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}